Analisis Kluster Fuzzy C-Means untuk Evaluasi Implementasi Green Economy: Studi Kasus Provinsi Jawa Timur

Abstract

Climate change and environmental degradation have become major problems for achieving sustainable development. Green economy is a solution to answer those challenges. This study aims to determine the development of green economy implementation based on clustering results in East Java Province. The data in this study were collected from the Central Bureau of Statistics (BPS). This study uses eight variables based on three aspects of the green economy, namely social, economic, and environmental aspects. The Fuzzy C-Means method is used to perform cluster analysis to obtain a profile of green economy implementation in East Java based on the best model. Based on the modeling results, the best cluster models are two clusters which are categorized as areas that need to improve from social and economic aspects (cluster 1) and areas that need to improve from an environmental aspect (cluster 2). Policy priorities in cluster 1 are aimed at improving the quality of human resources and reducing the poverty rate, while those in cluster 2 are focused on reducing the negative impact of industrial activities on the environment. In addition, the government needs to apply the quad helix concept to strengthen coordination with the four development actors namely the government, universities, business, and the community.